Dynamic Modeling and Forecasting on Enterprise Revenue with Derived Granularities

Shan, Jerry Z. ; Tang, Hsiu-Khuern ; Wu, Ren ; Safai, Fereydoon

HP Development Company

关键词: Bayesian inference;    data granularity;    modeling and forecasting;    seasonal ARIMA models;   

RP-ID  :  HPL-2005-90

学科分类：计算机科学（综合）

美国|英语

来源: HP Labs

【 摘 要 】

Timely and accurate forecasts are crucial in decision-making processes and have significant impacts on many business aspects. We at HP Labs have developed a complete set of quantitative forecasting methods that can enable the establishment of a reliable predictive reporting system, so that executives can discern as early as possible where the company is heading financially. This paper reports some of our technical developments in building such a predictive reporting system. Notes: Copyright IEEE. To be published in and presented at IEEE International Conference on Granular Computing (IEEE GrC 2005), 25- 27 July 2005, Beijing, China 6 Pages